Evidence map›Paper›PMID 35192079›Full record

ReviewSports medicine - open2022

Characteristics of Complex Systems in Sports Injury Rehabilitation: Examples and Implications for Practice.

Kate K Yung, Clare L Ardern, Fabio R Serpiello, Sam Robertson

Abstract readReview
In one paragraph

Review in Sports medicine - open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  13. [Analysis of the Argentine residency system from the paradigm of Complexity Sciences]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kate K YungInstitute for Health and Sport, Victoria University, Melbourne, Australia. kai.yung@live.vu.edu.au.ORCID http://orcid.org/0000-0003-1906-4111
Clare L ArdernMusculoskeletal and Sports Injury Epidemiology Centre, Department of Health Promotion Science, Sophiahemmet University, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8102-3631
Fabio R SerpielloInstitute for Health and Sport, Victoria University, Melbourne, Australia.ORCID http://orcid.org/0000-0001-8919-3053
Sam RobertsonInstitute for Health and Sport, Victoria University, Melbourne, Australia.ORCID http://orcid.org/0000-0002-8330-0011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex systems are open systems consisting of many components that can interact among themselves and the environment. New forms of behaviours and patterns often emerge as a result. There is a growing recognition that most sporting environments are complex adaptive systems. This acknowledgement extends to sports injury and is reflected in the individual responses of athletes to both injury and rehabilitation protocols. Consequently, practitioners involved in return to sport decision making (RTS) are encouraged to view return to sport decisions through the complex systems lens to improve decision-making in rehabilitation. It is important to clarify the characteristics of this theoretical framework and provide concrete examples to which practitioners can easily relate. This review builds on previous literature by providing an overview of the hallmark features of complex systems and their relevance to RTS research and daily practice. An example of how characteristics of complex systems are exhibited is provided through a case of anterior cruciate ligament injury rehabilitation. Alternative forms of scientific inquiry, such as the use of computational and simulation-based techniques, are also discussed-to move the complex systems approach from the theoretical to the practical level.

Indexed as

Bayesian networkComplexityDecision makingMachine learningReturn to playReturn to sport

Identifiers

PMID35192079
PMCPMC8864040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.